Return to home page
Searching: Muskingum library catalog
We are currently experiencing delivery delays for items requested from other institutions while transitioning to a new statewide delivery service. Please contact your library with questions or advice about alternative resources. Thank you for your patience!
  Previous Record Previous Item Next Item Next Record
  Reviews, Summaries, etc...
EBOOK
Author Yin, Heng.
Title Automatic malware analysis : an emulator based approach / Heng Yin, Dawn Song.
Imprint New York : Springer, 2013.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Yin, Heng.
Series SpringerBriefs in computer science, 2191-5776
SpringerBriefs in computer science.
Subject Malware (Computer software)
Computer security.
Computer Security.
Alt Name Song, Dawn.
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Yin, Heng.
Series SpringerBriefs in computer science, 2191-5776
SpringerBriefs in computer science.
Subject Malware (Computer software)
Computer security.
Computer Security.
Alt Name Song, Dawn.
Description 1 online resource (ix, 73 pages) : illustrations.
Bibliography Note Includes bibliographical references.
Contents Dynamic Binary Analysis Platform -- Hidden Code Extraction -- Privacy-breaching Behavior Analysis -- Hooking Behavior Analysis -- Analysis of Trigger Conditions and Hidden Behaviors -- Concluding Remarks.
Summary "Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms"--Provided by publisher.
Note Print version record.
ISBN 9781461455233 (electronic bk.)
1461455235 (electronic bk.)
9781461455226 (paper)
1461455227 (paper)
ISBN/ISSN 10.1007/978-1-4614-5523-3
OCLC # 811139541
Additional Format Print version: Yin, Heng. Automatic malware analysis. New York : Springer, 2013 9781461455226 (DLC) 2012945632 (OCoLC)805044588



If you experience difficulty accessing or navigating this content, please contact the OPAL Support Team